Integrating Methodologic Advances into Prevention Research

 
 
Prevention Science & Methodology Group Agenda

Wed, February 13th
8:30AM - 5:00PM
Overview of Methodologic Advances and Maximizing Their Impact on the Field of Prevention Research

Thurs, February 14th
8:30AM - 6:30PM
Methodologic Developments Necessary for the Prevention of Conduct Problems and Mental Disorders, Drug, and Alcohol Abuse

6:30PM
Reception

Fri, February 15th
8:00AM - 4:00PM
Agenda for Methodologic Development and Collaboration on Prevention Research

 
   
   
 

 

 

Wednesday, February 13, 2002
8:30 AM - 5:00 PM
Overview of Methodologic Advances and Maximizing Their Impact on the Field of Prevention Research
This part of the meeting will address the following questions:
  A. What methodologic problems are now solvable and how do they address the prevention research agenda
B. What currently unresolved prevention research questions need to drive our methodologic work
C. What data need to be collected for the next phase of prevention research

 

8:30-8:35 8:35-8:40 8:40-9:00 9:00-9:15 9:15-10:15 10:15-10:30 10:30-12:00 12:00-1:30 1:30-1:40 1:40-3:00  3:00-3:15 3:15-5:00
Bengt Muthén,
UCLA
Hendricks Brown,
USF
General
Introductions
Role of methodology in prevention of mental disorders
Jane Pearson, NIMH

Growth Mixture Modeling

Coffee break Growth Mixture Modeling (cont.) Lunch Role of methodology in prevention of drug use
Liz Robertson, NIDA
Perspectives on Missing Data in Prevention Break Designs for Preventive Trials and
Analytical methods for dyadic and group interactions
Introduction

 

Introduction
8:30 - 8:35 Bengt Muthén, UCLA
8:35 - 8:40 Hendricks Brown, USF
8:40 - 9:00 General Introductions

Role of methodology in prevention of mental disorders
Jane Pearson, NIMH

I. The Effect of Preventive Interventions on Development and Variation in Impact
Paradigms and principles for prevention science
Sheppard Kellam, American Institutes for Research
Where we have come methodologically
Bengt Muth
én, UCLA

  A. Growth Mixture Modeling
Discussion Leaders
Bengt Muthén, UCLA
Sheppard Kellam, American Institutes for Research
   

1. Examining growth heterogeneity: Understanding individual trajectory patterns
Bengt Muth
én, UCLA

2. Incorporating time to event data in growth modeling: Are times to diagnoses related to growth patterns?
Katherine Masyn, UCLA
Klaus Larsen, UCLA
3. Incorporating multi-level modeling: Integrating nested ecological levels
Bengt Muth
én, UCLA
Beth Vanfossen, Towson University
Coffee break
    4. Analytic methods for non-normal longitudinal data and interactions among latent variables : Examining alcohol use, drug use and symptoms; examining moderation
Bengt Muthen, UCLA
Gitta Lubke, UCLA
Andreas Klein, UCLA
   

5. Other technical problems of importance for prevention

  a. Model Selection, Diagnosis and Pseudo-classes for mixture problems: Finding the best model involving multiple trajectories
Hendricks Brown, USF
  b. Crossed random effects: Changing neighborhoods; mesosystem impact
Mike Stoolmiller, OSLC
  c. Incorporating effects on non-controlled or partially controlled interventions: Variation in Implementation, medical treatment exposure histories, services, and social adjudications; "rescues"
Hendricks Brown, USF
  d. Dynamical systems modeling
  e. Integrating Genetics:
Gitta Lubke
Steve Faraone

Lunch (at UCLA restaurants)

Role of methodology in prevention of drug use
Liz Robertson, NIDA

  B. Perspectives on Missing Data in Prevention
Discussion Leaders
Hendricks Brown, USF
Nick Ialongo, Johns Hopkins University
    1. Modeling multiple patterns of missing data for growth trajectories: How different causes of attrition relate to growth patterns
Bengt Muthen, UCLA
    2. Identifying extremal non-ignorable missing data mechanisms: What to do when you can't be sure you know why data are missing
Hendricks Brown, USF
    3. Modeling implementation and participation/adherence, and dosage effects: Understanding intervention effects by going beyond intent to treat analyses
Booil Jo, UCLA
Nick Ialongo, Johns Hopkins University
    4. Missing Data and Nonresponse: General perspectives on missing data in prevention
Joe Schafer, Penn State University
Break
C. Designs for Preventive Trials 
Discussion Leaders
Bengt Muthen, UCLA
Jane Pearson, NIMH
    1. Methods for maximizing statistical power: Multilevel interventions, follow-up designs
Hendricks Brown, USF
Tom Dishion, University Oregon
    2. Designing effectiveness, implementation, and scalability trials
Naihua Duan, UCLA
Sheppard Kellam, American Institutes for Research
    3. Designs for low baserate disorders
Hendricks Brown, USF
Steve Faraone, Harvard University
 

D. Analytical methods for dyadic and group interactions
Discussion Leaders
Hendricks Brown, USF
Jose Szapocznik, University ofMiami

Getachew Dagne, USF
George Howe, George Washington University
Jim Snyder, Wichita State University
Mike Stoolmiller, OSLC

 

Thursday, February 14, 2002
8:30 AM - 6:30 PM
Methodologic Developments Necessary for the Prevention of Conduct Problems and Mental Disorders, Drug, and
Alcohol Abuse


8:30-8:40 8:40-8:50 8:50-9:00 9:00-9:10 9:10-9:20 9:20-10:00 10:00-10:15 10:15-12:00 12:00-1:30 1:30-3:00  3:00-3:15 3:15-6:30 6:30
Sheppard Kellam, AIR John Reid, OSLC Jose Szapocznik, Univ. of Miami Ming Tsuang, Harvard Univ. Nick Ialongo, Johns Hopkins Univ. Substantive Themes

Break

Substantive Themes (cont.) Lunch Cross-Cutting Methodologic Themes Break Cross-Cutting Methodologic Themes (cont.) Reception
Introduction
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Introduction
8:30 - 8:40 Sheppard Kellam, AIR
8:40 - 8:50 John Reid, OSLC
8:50 - 9:00 Jose Szapocznik, University of Miami
9:00 - 9:10 Ming Tsuang, Harvard University
9:10 - 9:20 Nick Ialongo, Johns Hopkins University

A. Substantive Themes

 

1. Research Activities on the Prevention of Aggression, Conduct Disorder, Antisocial Personality Disorder
Jane Pearson, NIMH
Charles Martinez, OSLC
Sheppard Kellam, AIR

Break
  2. Research Activities on the Prevention of Drug Abuse
Liz Robertson, NIDA
Tom Dishion, University of Oregon
Jose Szapocznik, Dan Feaster, University of Miami
 

3. Research Activities on ADHD and Prevention of Psychosis
Ming Tsuang, Harvard University
Steve Faraone, Harvard University

 

4. Research Activities on Children with SED
Paul Greenbaum, USF

Lunch (at UCLA restaurants)

B. Cross-Cutting Methodologic Themes

  1. Analyzing Long Sequences of Data
    a. Long Panel Studies in Prevention
Charles Martinez, OSLC
Paul Greenbaum, USF
 
    b. Dyadic Behavior Observation Data
George Howe, George Washington University
Jim Snyder, Wichita State University
Tom Dishion, University of Oregon
    c. Longitudinal Data Across Multiple Stages of Life
Nick Ialongo, Johns Hopkins University
Hanno Petras, Johns Hopkins University

Break

  2. Impact of Contextual Effects on Intervention Effectiveness
Jose Szapocznik, University of Miami
Sheppard Kellam, AIR
Tom Dishion, University of Oregon
  3. Preventive Interventions for Low Baserate and Serious Mental Disorders
Ming Tsuang, Harvard University
Steve Faraone, Harvard University
Hendricks Brown, USF
  4. Economic Analyses in Prevention
Alka Indurkhya, Harvard University
Nick Ialongo, Johns Hopkins University
Reception, at Moore Hall Reading Room (3340)

 

Friday February 15, 2002
8:00AM - 4:00PM
Methodologic Development and Collaboration on Prevention Research

8:00-10:00 10:00-10:15 10:15-11:00 11:00 11:30-1:30 1:30-4:00
Discussion Break Development of New Grant Proposals Ending of Regular PSMG Meeting Lunch Model Checking and Model Refinement in Evaluating Preventive Trials: Issues on the Use of Pseudoclasses

Discussion
8:00-10:00
Discussion Leaders

Hendricks Brown, USF
Bengt Muthen, UCLA
Jane Pearson, NIMH
Liz Robertson, NIDA

1. Disseminating Methodologies to the Prevention and Treatment Field

2. Collaborating on Designing Field Trials and Analyzing Data Prevention Data

Break

3. Development of New Grant Proposals

Ending of Regular PSMG Meeting

Lunch (at neighboring restaurants)
11:30-1:30

Model Checking and Model Refinement in Evaluating Preventive Trials: Issues on the Use of Pseudoclasses
1:30-4:00
Karen Bandeen Roche, Johns Hopkins University
Chen-Pin Wang, USF
Bengt Muthen, UCLA
Hendricks Brown, USF

 

   
  Copyright © 2004   Bengt O. Muthén